MeanShift method
Run MeanShift for clustering.
MEANSHIFT( d, kernel = "NORMAL", bandwidth = rep(1, ncol(d)), alpha = 0, iterations = 10, epsilon = 1e-08, epsilonCluster = 1e-04, ... )
d |
The dataset ( |
kernel |
A string indicating the kernel associated with the kernel density estimate that the mean shift is optimizing over. |
bandwidth |
Used in the kernel density estimate for steepest ascent classification. |
alpha |
A scalar tuning parameter for normal kernels. |
iterations |
The number of iterations to perform mean shift. |
epsilon |
A scalar used to determine when to terminate the iteration of a individual query point. |
epsilonCluster |
A scalar used to determine the minimum distance between distinct clusters. |
... |
Other parameters. |
The clustering (meanshift object).
## Not run: require (datasets) data (iris) MEANSHIFT (iris [, -5], bandwidth = .75) ## End(Not run)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.